Yuda Song - RankMe

34 papers A* 14Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Expanding the Capabilities of Reinforcement Learning via Text Feedback. CoRR Yuda Song, Lili Chen, Fahim Tajwar, Rémi Munos, Deepak Pathak, J. Andrew Bagnell, Aarti Singh, Andrea Zanette
2026	J	`jnl`	Maximum Likelihood Reinforcement Learning. CoRR Fahim Tajwar, Guanning Zeng, Yueer Zhou, Yuda Song, Daman Arora, Yiding Jiang, Jeff G. Schneider, Ruslan Salakhutdinov, Haiwen Feng, Andrea Zanette
2025	A*	`conf`	Accelerating Unbiased LLM Evaluation via Synthetic Feedback. ICML Zhaoyi Zhou, Yuda Song, Andrea Zanette
2025	J	`jnl`	Accelerating Unbiased LLM Evaluation via Synthetic Feedback. CoRR Zhaoyi Zhou, Yuda Song, Andrea Zanette
2025	A*	`conf`	Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models. ICLR Yuda Song, Hanlin Zhang, Carson Eisenach, Sham M. Kakade, Dean P. Foster, Udaya Ghai
2025	J	`jnl`	Outcome-based Exploration for LLM Reasoning. CoRR Yuda Song, Julia Kempe, Rémi Munos
2025	J	`jnl`	To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable Reinforcement Learning. CoRR Yuda Song, Dhruv Rohatgi, Aarti Singh, J. Andrew Bagnell
2024	A*	`conf`	Hybrid Reinforcement Learning from Offline Observation Alone. ICML Yuda Song, Drew Bagnell, Aarti Singh
2024	J	`jnl`	Hybrid Reinforcement Learning from Offline Observation Alone. CoRR Yuda Song, J. Andrew Bagnell, Aarti Singh
2024	J	`jnl`	Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models. CoRR Yuda Song, Hanlin Zhang, Carson Eisenach, Sham M. Kakade, Dean P. Foster, Udaya Ghai
2024	A*	`conf`	Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees. ICLR Yifei Zhou, Ayush Sekhari, Yuda Song, Wen Sun
2024	A*	`conf`	Rich-Observation Reinforcement Learning with Continuous Latent Dynamics. ICML Yuda Song, Lili Wu, Dylan J. Foster, Akshay Krishnamurthy
2024	J	`jnl`	Rich-Observation Reinforcement Learning with Continuous Latent Dynamics. CoRR Yuda Song, Lili Wu, Dylan J. Foster, Akshay Krishnamurthy
2024	A*	`conf`	The Importance of Online Data: Understanding Preference Fine-tuning via Coverage. NeurIPS Yuda Song, Gokul Swamy, Aarti Singh, J. Andrew Bagnell, Wen Sun
2024	J	`jnl`	Understanding Preference Fine-Tuning Through the Lens of Coverage. CoRR Yuda Song, Gokul Swamy, Aarti Singh, J. Andrew Bagnell, Wen Sun
2023	A*	`conf`	Hybrid RL: Using both offline and online data can make RL efficient. ICLR Yuda Song, Yifei Zhou, Ayush Sekhari, Drew Bagnell, Akshay Krishnamurthy, Wen Sun
2023	J	`jnl`	Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees. CoRR Yifei Zhou, Ayush Sekhari, Yuda Song, Wen Sun
2023	A*	`conf`	Provable Benefits of Representational Transfer in Reinforcement Learning. COLT Alekh Agarwal, Yuda Song, Wen Sun, Kaiwen Wang, Mengdi Wang, Xuezhou Zhang
2023	A*	`conf`	Representation Learning for Low-rank General-sum Markov Games. ICLR Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Zihan Ding, Chi Jin, Mengdi Wang
2023	A*	`conf`	The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. ICML Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury
2023	J	`jnl`	The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms. CoRR Anirudh Vemula, Yuda Song, Aarti Singh, J. Andrew Bagnell, Sanjiban Choudhury
2022	J	`jnl`	Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach. CoRR Xuezhou Zhang, Yuda Song, Masatoshi Uehara, Mengdi Wang, Alekh Agarwal, Wen Sun
2022	A*	`conf`	Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach. ICML Xuezhou Zhang, Yuda Song, Masatoshi Uehara, Mengdi Wang, Alekh Agarwal, Wen Sun
2022	J	`jnl`	Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient. CoRR Yuda Song, Yifei Zhou, Ayush Sekhari, J. Andrew Bagnell, Akshay Krishnamurthy, Wen Sun
2022	—	`conf`	Online No-regret Model-Based Meta RL for Personalized Navigation. L4DC Yuda Song, Ye Yuan, Wen Sun, Kris Kitani
2022	J	`jnl`	Online No-regret Model-Based Meta RL for Personalized Navigation. CoRR Yuda Song, Ye Yuan, Wen Sun, Kris Kitani
2022	J	`jnl`	Provable Benefits of Representational Transfer in Reinforcement Learning. CoRR Alekh Agarwal, Yuda Song, Wen Sun, Kaiwen Wang, Mengdi Wang, Xuezhou Zhang
2022	J	`jnl`	Representation Learning for General-sum Low-rank Markov Games. CoRR Chengzhuo Ni, Yuda Song, Xuezhou Zhang, Chi Jin, Mengdi Wang
2022	A*	`conf`	Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design. ICLR Ye Yuan, Yuda Song, Zhengyi Luo, Wen Sun, Kris M. Kitani
2021	A*	`conf`	PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration. ICML Yuda Song, Wen Sun
2021	J	`jnl`	PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration. CoRR Yuda Song, Wen Sun
2021	J	`jnl`	Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design. CoRR Ye Yuan, Yuda Song, Zhengyi Luo, Wen Sun, Kris Kitani
2020	A*	`conf`	Provably Efficient Model-based Policy Adaptation. ICML Yuda Song, Aditi Mavalankar, Wen Sun, Sicun Gao
2020	J	`jnl`	Provably Efficient Model-based Policy Adaptation. CoRR Yuda Song, Aditi Mavalankar, Wen Sun, Sicun Gao